Regenerative Artificial Intelligence: A Unified Decision Architecture for Wicked Governance Systems

This working paper introduces the Regen-5 Framework, the first unified scientific architecture for Regenerative Artificial Intelligence. Authored by Aleksandra Pinar (ORCID: 0009-0001-1135-7801), the framework defines a new field of AI research dedicated to decision-making in wicked, complex, and value-conflicted socio-technical systems.

The Regen-5 Framework consists of three core components:

• CARES — Cognitive Alignment & Regenerative Systems

• RADA — Regenerative Argumentation & Deliberation Architecture

• CRDP — Continuous Regenerative Decision Process

Together, these components form a cognitive–deliberative–temporal architecture enabling AI systems to support long-horizon, multi-stakeholder, regenerative decision-making at institutional, governmental, and global scales.

This publication provides:

• the formal definition of Regenerative AI as a scientific field,

• the mathematical structure of the Regen-5 model,

• theoretical foundations based on wicked-problem theory, design science, systems thinking, cognitive systems engineering, and argumentation science,

• a conceptual blueprint for implementing CARES, RADA, and CRDP in real-world governance, HR systems, sustainability analytics, and public-policy environments.

This is the first official publication of the Regen AI Institute and establishes the conceptual and intellectual ownership of the Regen-5 Framework and its sub-models. All subsequent papers in the series (CARES, RADA, CRDP) will expand this foundation.

This work is intended for researchers, policymakers, AI architects, sustainability leaders, and institutions developing long-term decision systems in complex environments.